Great post, very informative, don't change a thing. Numbers are needed to support opinion. Dudes have just become too comfortable with empty posturing and *** pics around here.
Wish I could say this up vote this twice
Great post, very informative, don't change a thing. Numbers are needed to support opinion. Dudes have just become too comfortable with empty posturing and *** pics around here.
Fantastic write up.
It would be interesting to see how our statistics shape up as the season progresses...
[MENTION=5374]HurricaneVision[/MENTION]
I like the look at last years #'s. But I'm having a struggle figuring out how they are relevant now with a different rooster and a different coaching staff running completely different schemes this year.
Genuinely curious
That was a **** ton of words but really well worth the read. Extremely informative, well researched, well done, and an incredible amount of effort. Terrific job.
I'm always wondering if I should split my writing into more than one post. Feedback welcomed.
[MENTION=5374]HurricaneVision[/MENTION]
I like the look at last years #'s. But I'm having a struggle figuring out how they are relevant now with a different rooster and a different coaching staff running completely different schemes this year.
Genuinely curious
It's a valid question. Here is what I was trying to show:
What areas was last year's team deficient, and if the team was deficient, what can be done to change things? I also wanted to demonstrate where players were efficient, and maybe where they were not.
It was intended to be a mix of descriptive metrics and then spin them into hopefully predictive metrics for this season. Sometimes things happen as a victim of chance, but sometimes you can delve into metrics to confirm items that you believe you saw with your eyes.
When analytics and scouting come together in agreement, it is generally a sign that you can confidently use the information in your analysis.
Yds per play is definitely a good stat to use, but I wasn't trying to evaluate how last year's team fared so much as I was trying to determine where they struggled and what can happen to change those areas.
Turnover correlation year-to-year is around .30, which means you can only explain away 30% of the "noise" so that is just not statistically significant. We will undoubtedly regress towards the mean in turnovers caused, but that doesn't mean we will regress in turnovers we experience. It simply means the amount of potential turnovers gained will regress.
Really the metric that has some correlation with turnovers is sacks per dropback. I suspect we will see a big increase in that number this year.
Based on the UM stats from last year, if you hid the team and had me guess the W-L record I'd say 6-6 at best. Not sure how we won 8 games with these numbers.
Scoring O #71
Scoring D #77
Total O #67
Total D #69
1st Downs #93
1st Downs allowed #103
Penalties #128 (last)
Penalties by Opponent #41
Sacks #64
Sacks allowed #34
TFL #96
TFL allowed #8 (not bad)
3rd Down Conversions #107
3rd Down conv allowed #67
Red Zone TD % #111
RedZone TD % for opponents #58
This thing has got legs.. who would have known in this place.
Does metrics factor in heart, desire and will?
I appreciate numbers as much as my stat's classes in college. It did not account for the cop gun to my head though. And I am a white guy.
We will win, when our Defense becomes tough. When they rule the field. O makes point's. Defense makes the other team pay the toll to play.
This thing has got legs.. who would have known in this place.
Does metrics factor in heart, desire and will?
I appreciate numbers as much as my stat's classes in college. It did not account for the cop gun to my head though. And I am a white guy.
We will win, when our Defense becomes tough. When they rule the field. O makes point's. Defense makes the other team pay the toll to play.
This thing has got legs.. who would have known in this place.
Does metrics factor in heart, desire and will?
I appreciate numbers as much as my stat's classes in college. It did not account for the cop gun to my head though. And I am a white guy.
We will win, when our Defense becomes tough. When they rule the field. O makes point's. Defense makes the other team pay the toll to play.
The numbers will show when our team becomes tough on D. Look at the top D teams from last year.
Top Teams Total D
#3-Bama
#4-Mich
#7-GA
#9-OSU
#10-Clem
#11- App st (Dang-didnt realize they were that good)
#69-Miami
This thing has got legs.. who would have known in this place.
Does metrics factor in heart, desire and will?
I appreciate numbers as much as my stat's classes in college. It did not account for the cop gun to my head though. And I am a white guy.
We will win, when our Defense becomes tough. When they rule the field. O makes point's. Defense makes the other team pay the toll to play.
The numbers will show when our team becomes tough on D. Look at the top D teams from last year.
Top Teams Total D
#3-Bama
#4-Mich
#7-GA
#9-OSU
#10-Clem
#11- App st (Dang-didnt realize they were that good)
#69-Miami
Had we played App State's schedule last year our D would have ranked, much, much..... oh nevermind. We'd have still ranked 69.
Yds per play is definitely a good stat to use, but I wasn't trying to evaluate how last year's team fared so much as I was trying to determine where they struggled and what can happen to change those areas.
Turnover correlation year-to-year is around .30, which means you can only explain away 30% of the "noise" so that is just not statistically significant. We will undoubtedly regress towards the mean in turnovers caused, but that doesn't mean we will regress in turnovers we experience. It simply means the amount of potential turnovers gained will regress.
Really the metric that has some correlation with turnovers is sacks per dropback. I suspect we will see a big increase in that number this year.
Based on the UM stats from last year, if you hid the team and had me guess the W-L record I'd say 6-6 at best. Not sure how we won 8 games with these numbers.
Scoring O #71
Scoring D #77
Total O #67
Total D #69
1st Downs #93
1st Downs allowed #103
Penalties #128 (last)
Penalties by Opponent #41
Sacks #64
Sacks allowed #34
TFL #96
TFL allowed #8 (not bad)
3rd Down Conversions #107
3rd Down conv allowed #67
Red Zone TD % #111
RedZone TD % for opponents #58